Glaucoma and optical coherence tomography changes in migraine: A comparative cross-sectional study
Abstract
Purpose: To study the prevalence of glaucoma among adults with migraine and the effect of migraine on peripapillary retinal nerve fiber layer (pRNFL) and central macular thickness (CMT) using optical coherence tomography (OCT) compared to those without migraine headache, i.e. in tension-type headache (TTH) and normal group. Methods: One hundred and eleven patients (222 eyes) were recruited in three groups. migraine, TTH, and normal subjects visiting hospital outpatient services. After noting demographic details and pertinent history, ophthalmological evaluation including optic disc for glaucomatous changes along with computerized visual field testing and OCT for pRNFL thickness and CMT was performed in all eyes. Continuous variables were compared using ANOVA or Kruskal–Wallis test, while categorical variables including the association of glaucoma with migraine were analyzed using Chi-square or Fisher's exact test. Results: Prevalence of glaucoma in migraine group (12.2%) was more than in comparison groups (6.8% in TTH, 4.1% in normal) which was however not significant (Fisher's exact P = 0.207). Average pRNFL thickness (103.59 ± 12.82 μm) and thickness in nasal (90.49 ± 19.19 μm) and temporal quadrants (70.58 ± 16.13 μm) and CMT (213.78 ± 19.81 μm) were significantly reduced (ANOVA P < 0.05) in migraine patients when compared to the other groups and this was independent of the presence of glaucoma. Conclusion: Prevalence of glaucoma is not significantly higher in migraine…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.